Detail publikace

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

Originální název

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

Anglický název

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

Jazyk

en

Originální abstrakt

The paper describes a neural network ensemble-based parameter sensitivity analysis. The proposed method is applied to prestressed concrete bridge. Three dominant parameters were identified for limit state of decompression and six dominant parameters for limit state of crack initiation.

Anglický abstrakt

The paper describes a neural network ensemble-based parameter sensitivity analysis. The proposed method is applied to prestressed concrete bridge. Three dominant parameters were identified for limit state of decompression and six dominant parameters for limit state of crack initiation.

BibTex


@inproceedings{BUT156409,
  author="Lixia {Pan} and David {Lehký} and Drahomír {Novák} and Maosen {Cao}",
  title="Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.",
  annote="The paper describes a neural network ensemble-based parameter sensitivity analysis. The proposed method is applied to prestressed concrete bridge. Three dominant parameters were identified for limit state of decompression and six dominant parameters for limit state of crack initiation.",
  booktitle="Engineering Mechanics 2018",
  chapter="156409",
  howpublished="print",
  year="2018",
  month="may",
  pages="637--640",
  type="conference paper"
}